Product Manager
at J.P. Morgan
Posted 12 days ago
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- Compensation
- Not specified GBP
- City
- Not specified
- Country
- United Kingdom
Currency: £ (GBP)
Lead product strategy and end-to-end lifecycle for AI/ML enablement within the Databricks data infrastructure team. Define roadmaps, prioritize features, and own the product backlog while collaborating with engineering, data science, marketing, and client engagement teams. Gather customer feedback, conduct market research, and drive successful product launches with a focus on scalability, resiliency, and business value. Act as a subject matter expert on AI/ML technologies to guide internal teams and customers.
Location: LONDON, LONDON, United Kingdom
As a Product Manager in Chief Data & Analytics office Data Infrastructure Team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Develops a product strategy and product vision that delivers value to customers
Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
Conducts market research and gather customer feedback to identify opportunities for product enhancements and new offerings.
Defines product requirements, create detailed specifications, and prioritize features based on customer impact and business value.
Partners closely with marketing and client engagement teams to develop go-to-market strategies and support product launches.
Serves as a subject matter expert on AI/ML technologies and trends, providing guidance and insights to internal teams and customers.
5+ years of experience or equivalent expertise in product management or a relevant domain area
Advanced knowledge of the product development life cycle, design, and data analytics
Familiarity with big data technologies such as Apache Spark, Hadoop, or similar frameworks, GenAI use cases (e.g., LLMs, RAG, Model Context Protocol, Agents, AI Gateway), Model Development Lifecycle (e.g., MLOps).
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
Strong understanding of AI/ML technologies, data science, and cloud computing platforms.
Experience with Databricks or similar data engineering and analytics platforms.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
Ability to manage multiple projects and priorities in a fast-paced environment.
Demonstrated prior experience working in a highly matrixed, complex organization
Experience with agile development methodologies and tools.
Strong business acumen and ability to translate technical capabilities into business value.
Certification in product management or related fields.
